Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{192725,
author = {Dr.K.Ramesh},
title = {Ethical Artificial Intelligence in Human Resource Management: A Conceptual Review on Trust and Employee Well-being},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {2296-2301},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192725},
abstract = {The rapid integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is fundamentally transforming the way organizations attract, manage, and develop human capital. AI-driven tools are increasingly used in recruitment, performance evaluation, employee engagement, and learning and development, offering significant advantages such as improved efficiency, data-driven decision-making, and cost reduction. However, alongside these benefits, the growing reliance on AI presents serious ethical challenges that require careful consideration and proactive management. This paper critically reviews the current applications of AI in HRM, with particular attention to concerns related to algorithmic bias, data privacy, transparency, and accountability. AI systems trained on historical data may unintentionally reinforce existing inequalities, leading to discriminatory hiring or promotion practices. Additionally, the extensive use of employee data raises concerns about consent, surveillance, and the protection of personal information. The lack of transparency in complex AI algorithms further complicates accountability, making it difficult to understand or challenge automated decisions that affect employees’ careers. To address these ethical issues, this review proposes strategies for responsible AI adoption, including ethical governance frameworks, regular audits of AI systems, human oversight in decision-making, and adherence to legal and regulatory standards. Furthermore, collaboration among HR professionals, data scientists, organizational leaders, and policymakers is essential to ensure that AI systems are designed and implemented ethically. By fostering transparency, fairness, and accountability, organizations can leverage AI in HRM while safeguarding employee rights and maintaining trust, integrity, and social responsibility.},
keywords = {Artificial Intelligence, Human Resource Management, Ethical Considerations, Bias, Privacy, Accountability},
month = {February},
}
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